Data Engineer_AI

• Job Description
• Develop and maintain ETL/ELT pipelines using Databricks.
• Write efficient Pyspark & Python Scripts for large-scale data processing.
• Implement data models, transformations and CI/CD pipelines for automation.
• Develop reusable data engineering frameworks, libraries and templates for ingestion, transformation, validation and publishing.
• Ensure Data Quality, Reliability, and Performance across pipelines and shared frameworks.
• Design, develop, test and deploy Power BI scripts and generate visually appearing and insightful reports.
• Integrate Power BI reports into Applications to provide enhanced business capabilities.
• Build data models and develop dashboards using Power BI desktop.
• Work with Reliability Engineers to design and develop Power BI data Visualizations.
• Proficient in using DAX expressions and Power Queries for developing and optimizing Power BI dashboards and reports.
• Knowledge of Azure Cloud Data Engineering Tools.
• Analysis of Validation Test Results.
• Development of Interfaces for Measurement and Simulation.
• Development and Maintenance of Test Automation system related Tools.
• Support Downstream consumers such as analytics, reporting, testing and Reliability teams.
• Desired Skills
• Good knowledge of data engineering concepts, ETL/ELT pipelines, and data lifecycle management.
• Excellent understanding of data modeling, data transformation, and dashboarding concepts for analytics and reporting.
• Proficiency in programming languages including Python and PySpark, with experience in large-scale data processing.
• Strong knowledge of data visualization and reporting using Microsoft Power BI including DAX expressions and Power Query.
• Familiarity with cloud-based data engineering tools, preferably Microsoft Azure services.
• Basic knowledge of electronics and industrial/validation systems is an added advantage.
• Education & Experience
• Bachelor’s or Master’s degree in Electronics or Electrical Engineering or Computer Science Engineering with 2 to 5 years of experience.
• Hands-on experience in building and maintaining data pipeline solutions using Databricks.
• Exposure to data engineering concepts including ETL/ELT workflows, data processing, and automation.
• Soft Skills
• Team player with a proactive mind set
• Good communication skills
• Willing to work in an international team with diverse cultures
• Openness for technical discussions, assessments and reviews

Btech/Mtech

3-6 Years